– Experience: Minimum 5+ years in data science or 8 to 15 years in development and data science combined.
– Machine Learning and AI: Strong background in data science, machine learning, and artificial intelligence.
– Gen AI and LLM: Experience working with Gen AI, LLM, and prediction models.
– Deployment Experience: Proven track record of developing and deploying solutions in live environments.
– Cloud Proficiency: Experience with AWS, Azure, and GCP, with Docker and Kubernetes expertise.
– Technological Expertise: Proficiency in PySpark, Python, and SQL.